Fuzzy Control Model with Automated Rule Base Generation for Artillery Systems in Game Simulators
This paper presents the development and validation of a fuzzy control model with automated rule base generation for artillery system actuators in game simulators. The proposed model integrates a bioinspired optimization mechanism based on the ant colony algorithm, enabling the automatic synthesis of efficient rule bases without relying on expert knowledge. This approach ensures adaptability and autonomy under uncertain conditions and provides logical transparency, allowing detailed analysis of control strategies.